Tuberc Respir Dis.  2011 Jul;71(1):8-14.

MicroRNA-23a: A Novel Serum Based Diagnostic Biomarker for Lung Adenocarcinoma

Affiliations
  • 1Department of Internal Medicine, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Korea. sk1609@hanmail.net
  • 2Department of Laboratory Medicine, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Korea.
  • 3Myunggok Research Institute for Medical Science, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Korea.
  • 4Department of Internal Medicine, Kyungpook National University Hospital, Kyungpook National University College of Medicine, Daegu, Korea.
  • 5Department of Pharmacology, Konyang University College of Medicine, Daejeon, Korea.

Abstract

BACKGROUND
MicroRNAs (miRNAs) have demonstrated their potential as biomarkers for lung cancer diagnosis. In recent years, miRNAs have been found in body fluids such as serum, plasma, urine and saliva. Circulating miRNAs are highly stable and resistant to RNase activity along with, extreme pH and temperatures in serum and plasma. In this study, we investigated serum miRNA profiles that can be used as a diagnostic biomarker of non-small cell lung cancer (NSCLC).
METHODS
We compared the expression profile of miRNAs in the plasma of patients diagnosed with lung cancer using an miRNA microarray. The data from this assay were validated by quantitative real-time PCR (qRT-PCR).
RESULTS
Six miRNAs were overexpressed and three miRNAs were underexpressed in both tissue and serum from squamous cell carcinoma (SCC) patients. Sixteen miRNAs were overexpressed and twenty two miRNAs were underexpressed in both tissue and serum from adenocarcinoma (AC) patients. Of the four miRNAs chosen for qRT-PCR analysis, the expression of miR-23a was consistent with microarray results from AC patients. Receiver operating characteristic (ROC) curve analyses were done and revealed that the level of serum miR-23a was a potential marker for discriminating AC patients from chronic obstructive pulmonary disease (COPD) patients.
CONCLUSION
Although a small number of patients were examined, the results from our study suggest that serum miR-23a can be used in the diagnosis of AC.

Keyword

MicroRNAs; Gene Expression Profiling; Biological Markers; Lung Neoplasms

MeSH Terms

Adenocarcinoma
Biomarkers
Body Fluids
Carcinoma, Non-Small-Cell Lung
Carcinoma, Squamous Cell
Gene Expression Profiling
Humans
Hydrogen-Ion Concentration
Lung
Lung Neoplasms
MicroRNAs
Plasma
Pulmonary Disease, Chronic Obstructive
Real-Time Polymerase Chain Reaction
Ribonucleases
ROC Curve
Saliva
Adenocarcinoma
Lung Neoplasms
MicroRNAs
Ribonucleases

Figure

  • Figure 1 Box plot representing the expression of four miRNAs assessed by qRT-PCR. (A) Expression analysis to compare miR-150 and miR-1268 levels in the serum of SCC patients to serum samples obtained from COPD patients. (B) Expression analysis to compare miR-23a and miR-1233 levels in the serum of AC patients to serum samples obtained from COPD patients.

  • Figure 2 Receiver operating characteristic curves for miR23a in COPD control subjects and patients with adenocarcinoma. Curves were generated using data for miR-23a from qRT-PCR normalized to cel-miR-39.


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